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QGIS Python programming cookbook over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework 1st Edition by Joel Lawhead ISBN 1783984988 9781783984985

  • SKU: BELL-20640250
QGIS Python programming cookbook over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework 1st Edition by Joel Lawhead ISBN 1783984988 9781783984985
$ 31.00 $ 45.00 (-31%)

4.4

32 reviews

QGIS Python programming cookbook over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework 1st Edition by Joel Lawhead ISBN 1783984988 9781783984985 instant download after payment.

Publisher: Packt Publishing - ebooks Account
File Extension: PDF
File size: 5.78 MB
Pages: 343
Author: Lawhead, Joel
ISBN: 9781783984985, 9781783984992, 1783984988, 1783984996
Language: English
Year: 2015

Product desciption

QGIS Python programming cookbook over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework 1st Edition by Joel Lawhead ISBN 1783984988 9781783984985 by Lawhead, Joel 9781783984985, 9781783984992, 1783984988, 1783984996 instant download after payment.

QGIS Python programming cookbook over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework 1st Edition by Joel Lawhead - Ebook PDF Instant Download/Delivery: 1783984988, 9781783984985
Full download QGIS Python programming cookbook over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework 1st Edition after payment

Product details:

ISBN 10: 1783984988 
ISBN 13: 9781783984985
Author: Joel Lawhead

Book Description
If you are a geospatial analyst who wants to learn more about automating everyday GIS tasks or a programmer who is responsible for building GIS applications,this book is for you. The short, reusable recipes make concepts easy to understand. You can build larger applications that are easy to maintain when they are put together.
What you will learn
Build a library of reusable scripts with ScriptRunner
Create, import, and edit geospatial data on disk or in memory
Get to know more about dynamic mapping
Create and add features to static maps
Create a mapbook
Reproject a vector layer
Geolocate photos on a map
Combine multiple rasters into one image
Who this book is for
If you are a geospatial analyst who wants to learn more about automating everyday GIS tasks or a programmer who is responsible for building GIS applications,this book is for you. The short, reusable recipes make concepts easy to understand. You can build larger applications that are easy to maintain when they are put together.

QGIS Python programming cookbook over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework 1st Table of contents:

Chapter 1: Installing and Preparing QGIS

  • Installing QGIS for development – Page 23

  • Using the QGIS Python console for interactive control – Page 26

  • Using the Python ScriptRunner plugin – Page 27

  • Setting up your QGIS IDE – Page 29

  • Debugging QGIS Python scripts – Page 34

  • Navigating the PyQGIS API – Page 38

  • Creating a QGIS plugin – Page 40

  • Distributing a plugin – Page 43

  • Creating a standalone application – Page 46

  • Storing and reading global preferences – Page 48

  • Storing and reading project preferences – Page 49

  • Accessing the script path from within your script – Page 51

Chapter 2: Working with Vector Data

  • Loading a vector layer from a file – Page 53

  • Loading a vector layer from a spatial database – Page 55

  • Examining vector layer features – Page 57

  • Examining vector layer attributes – Page 58

  • Filtering by geometry – Page 59

  • Filtering by attributes – Page 61

  • Buffering a feature – Page 63

  • Measuring distances – Page 65–66

  • Calculating area – Page 68

  • Creating a spatial index – Page 69

  • Calculating bearing – Page 70

  • Loading data from a spreadsheet – Page 72

Chapter 3: Editing Vector Data

  • Creating a vector layer in memory – Page 77

  • Adding point, line, and polygon features – Page 78–81

  • Adding attributes and fields – Page 83–84

  • Joining attribute tables – Page 86

  • Moving geometry – Page 88

  • Changing feature attributes – Page 89

  • Deleting features and attributes – Page 91–92

  • Reprojecting layers – Page 93

  • Converting shapefiles to KML – Page 94

  • Merging, splitting, generalizing, dissolving – Page 95–99

  • Performing union – Page 101

  • Rasterizing vector layers – Page 103

Chapter 4: Using Raster Data

  • Loading and examining raster layers – Page 108–112

  • Swapping bands – Page 113

  • Querying raster values – Page 114

  • Reprojecting – Page 115

  • Hillshades, contours, sampling – Page 117–125

  • Common extents and resampling – Page 127–129

  • Counting unique values – Page 131

  • Mosaicing rasters – Page 132

  • Format conversions – Page 133

  • Creating pyramids – Page 134

  • Pixel ↔ map coordinate conversions – Page 135–137

  • KML overlays – Page 138

  • Classification, raster-to-vector – Page 142–143

  • Georeferencing – Page 145

  • Clipping rasters – Page 147

Chapter 5: Creating Dynamic Maps

  • Accessing map canvas – Page 151

  • Changing units – Page 152

  • Iterating layers – Page 153

  • Symbolizing vectors and rasters – Page 154–158

  • Using icons, SVGs, pie charts – Page 160–171

  • Using OSM, Bing, weather data – Page 175–178

  • Labeling – Page 179

  • Transparency – Page 180

  • Map tools for drawing and selection – Page 181–192

Chapter 6: Printing and Composing Maps

  • Simplest renderer – Page 195

  • Map composer – Page 197

  • Adding labels, scale bars, north arrows, logos – Page 200–207

  • Adding legends, shapes, grids, tables – Page 209–216

  • World files – Page 218

  • Saving/loading projects – Page 220–221

Chapter 7: Interacting with the User

  • Log files – Page 223

  • Message, warning, and error dialogs – Page 224–226

  • Progress bars – Page 227

  • Input dialogs – Page 229–230

  • Comboboxes, radio buttons, checkboxes – Page 232–235

  • Tabs, wizards – Page 237–239

  • Keeping dialogs on top – Page 242

Chapter 8: QGIS Workflows

  • NDVI – Page 245

  • Geocoding – Page 248

  • Raster footprints – Page 250

  • Network analysis – Page 254

  • Routing – Page 257

  • GPS tracking – Page 259

  • Mapbooks – Page 263

  • Least cost path – Page 266

  • Nearest neighbor – Page 268

  • Heat maps – Page 270

  • Dot density – Page 274

  • Field data collection – Page 276

  • Road slope – Page 279

  • Photo geolocation – Page 283

  • Image change detection – Page 287

Chapter 9: Other Tips and Tricks

  • Creating tiles – Page 291

  • Adding to geojson.io – Page 295

  • Rule-based rendering – Page 297

  • Layer style files – Page 301

  • NULL values – Page 303

  • Generators for queries – Page 304

  • Alpha values for density – Page 305

  • Generating points along lines – Page 310

  • Expression-based labels – Page 312

  • Dynamic forms – Page 313

  • Calculating line lengths – Page 316

  • Status bar CRS – Page 317

  • HTML labels – Page 318

  • OSM POIs – Page 321

  • 3D with WebGL – Page 323

  • Globe visualization – Page 326

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Tags: Joel Lawhead, QGIS, Python

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